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Benchmarking energy consumption for dump trucks in mines

Author

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  • Sahoo, Lalit Kumar
  • Bandyopadhyay, Santanu
  • Banerjee, Rangan

Abstract

Dump trucks are used for transportation in opencast mines and consume about 32% of the total energy use in mines. This paper presents a generic model to benchmark energy consumption for dump trucks in mines. The modelling framework estimates minimum specific fuel consumption (SFC) of dump trucks using mine equipment, engine characteristics and vehicle dynamics. The model investigates the variation of SFC with operating input parameters like payload, material handling rate, vehicle speed, distance, mine gradient, etc. The applicability of the proposed model is illustrated through a case study of multiple dump trucks in a down gradient opencast limestone mine in India. The minimum SFC of 89g/t is estimated for a mine transport system with three excavators and two crushers. The case study shows a potential fuel saving of 17%. The modelling framework developed can be used to set rational targets for energy consumption for dump trucks in mines.

Suggested Citation

  • Sahoo, Lalit Kumar & Bandyopadhyay, Santanu & Banerjee, Rangan, 2014. "Benchmarking energy consumption for dump trucks in mines," Applied Energy, Elsevier, vol. 113(C), pages 1382-1396.
  • Handle: RePEc:eee:appene:v:113:y:2014:i:c:p:1382-1396
    DOI: 10.1016/j.apenergy.2013.08.058
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    References listed on IDEAS

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    2. Witold Kawalec & Robert Król & Natalia Suchorab, 2020. "Regenerative Belt Conveyor versus Haul Truck-Based Transport: Polish Open-Pit Mines Facing Sustainable Development Challenges," Sustainability, MDPI, vol. 12(21), pages 1-15, November.
    3. S.R. Patterson & E. Kozan & P. Hyland, 2016. "An integrated model of an open-pit coal mine: improving energy efficiency decisions," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4213-4227, July.
    4. Patterson, S.R. & Kozan, E. & Hyland, P., 2017. "Energy efficient scheduling of open-pit coal mine trucks," European Journal of Operational Research, Elsevier, vol. 262(2), pages 759-770.
    5. Topno, Seema Ashishan & Sahoo, Lalit Kumar & Umre, B.S., 2021. "Energy efficiency assessment of electric shovel operating in opencast mine," Energy, Elsevier, vol. 230(C).
    6. Siami-Irdemoosa, Elnaz & Dindarloo, Saeid R., 2015. "Prediction of fuel consumption of mining dump trucks: A neural networks approach," Applied Energy, Elsevier, vol. 151(C), pages 77-84.
    7. Cai, Wei & Liu, Fei & Xie, Jun & Liu, Peiji & Tuo, Junbo, 2017. "A tool for assessing the energy demand and efficiency of machining systems: Energy benchmarking," Energy, Elsevier, vol. 138(C), pages 332-347.
    8. Salvatori, Simone & Benedetti, Miriam & Bonfà, Francesca & Introna, Vito & Ubertini, Stefano, 2018. "Inter-sectorial benchmarking of compressed air generation energy performance: Methodology based on real data gathering in large and energy-intensive industrial firms," Applied Energy, Elsevier, vol. 217(C), pages 266-280.
    9. Dindarloo, Saeid R. & Siami-Irdemoosa, Elnaz, 2016. "Determinants of fuel consumption in mining trucks," Energy, Elsevier, vol. 112(C), pages 232-240.
    10. Benedetti, Miriam & Bonfa', Francesca & Bertini, Ilaria & Introna, Vito & Ubertini, Stefano, 2018. "Explorative study on Compressed Air Systems’ energy efficiency in production and use: First steps towards the creation of a benchmarking system for large and energy-intensive industrial firms," Applied Energy, Elsevier, vol. 227(C), pages 436-448.
    11. Senqi Tan & Jue Yang & Xinxin Zhao & Tingting Hai & Wenming Zhang, 2018. "Gear Ratio Optimization of a Multi-Speed Transmission for Electric Dump Truck Operating on the Structure Route," Energies, MDPI, vol. 11(6), pages 1-17, May.
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